Estimating program coverage in the treatment of acute malnutrition using population-based cluster survey methods: results from surveys in Burkina Faso, Chad, Democratic Republic of the Congo, and Niger.

Saved in:
Bibliographic Details
Title: Estimating program coverage in the treatment of acute malnutrition using population-based cluster survey methods: results from surveys in Burkina Faso, Chad, Democratic Republic of the Congo, and Niger.
Authors: Heymsfield G; International Rescue Committee, New York, NY, United States., Radin E; International Rescue Committee, New York, NY, United States., Biotteau M; International Rescue Committee, Dakar, Senegal., Kangas S; International Rescue Committee, Brussels, Belgium., Tausanovitch Z; International Rescue Committee, New York, NY, United States., Tesfai C; International Rescue Committee, New York, NY, United States., Kiema L; International Rescue Committee, Ouagadougou, Burkina Faso., Ouedraogo WT; Ministère de la Santé et de l'Hygiène Publique, Ouagadougou, Burkina Faso., Mamoudou BS; International Rescue Committee, N'Djamena, Chad., Issa MG; Ministère de la Santé Publique et de la Prévention, N'Djamena, Chad., Bangali L; International Rescue Committee, Goma, Democratic Republic of Congo., Wa Ngboloko MCA; Programme National de Nutrition (PRONANUT), Ministère de la Santé Publique, Hygiène et Prévention Secrétariat Général, Kinshasa, Democratic Republic of Congo., Chaïbou B; International Rescue Committee, Niamey, Niger., Maman MB; Ministère de la Santé Publique, de la Population et des Affaires Sociales, Niamey, Niger., Leidman E; US Centers for Disease Control and Prevention, Atlanta, GA, United States., Bilukha O; US Centers for Disease Control and Prevention, Atlanta, GA, United States.
Source: Frontiers in public health [Front Public Health] 2025 Mar 25; Vol. 13, pp. 1513567. Date of Electronic Publication: 2025 Mar 25 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first